Skip to main content

Rapid IoT Development with Cloudera Edge Flow Manager - Using SenseHat, Intel Movidius, WebCameras and Electric Monitoring

Rapid IoT Development with Cloudera Edge Flow Manager - Using SenseHat, Intel Movidius, WebCameras and Electric Monitoring

I wanted to upgrade and change flows on my Movidius device, so the best option was to update to MiNiFi 0.6.0 Java Agent.   This allowed me to write a new flow graphically easily.  I also added the PiP library to connect to the HS-110 electric energy monitoring.   So we are grabbing sensor data from the Sense-Hat on the RPI, plus calling to the HS-110 sensor over TCP/IP, grabbing an image from our web camera and calling Apache MXNet and Caffe to run deep learning analytics against it.

So I installed the 0.6.0 Java MiNiFi agent on my RPI with SenseHat.   I enabled C2 in the configuration file and pointed to one of my EFM servers.

In our new flow, I execute the Python script that runs a Caffe and a MXNet model against a newly captured webcamera image.

I also list and fetch all the images (after a minute) that have been created by the webcamera.

Finally I execute a Python script to read from a local energy meter over a Python API.

All of this data (image and two types of JSON files) are sent to a NiFi cluster via S2S.   I route based on the type and process.   Energy monitoring data is queried via QueryRecord and sent to Slack if good.   The image is sent to my standard image processor group to be sent to CDSW for YOLO SSD analysis as well is to local TensorFlow and MXNet NiFi processors.   Finally the JSON Sensor/DL results are sent to Slack as a notification seen below.   This took less than an hour.  Easy AI - IoT / Edge 2 AI!

Example Web Camera Image


  • Apache NiFi
  • Apache NiFi - MiNiFi
  • Cloudera Edge Flow Manager
  • Apache Kafka
  • Apache MXNet
  • Apache MXNet GluonCV
  • TensorFlow
  • Intel Movidius
  • Caffe
  • Python 2/3
  • PiP
  • TensorFlow Model zsoo
  • TP-Link-HS110
  • SenseHat Sensors
  • Raspberry Pi 3B+
  • USB Webcamera
  • Cloudera Data Science Workbench



Popular posts from this blog

Migrating Apache Flume Flows to Apache NiFi: Kafka Source to HDFS / Kudu / File / Hive

Migrating Apache Flume Flows to Apache NiFi: Kafka Source to HDFS / Kudu / File / HiveArticle 7 - Article 6 -
Article 5 - 
Article 4 - Article 3 - Article 2 - Article 1 Source Code:
This is one possible simple, fast replacement for "Flafka".

Consume / Publish Kafka And Store to Files, HDFS, Hive 3.1, Kudu

Consume Kafka Flow 

 Merge Records And Store As AVRO or ORC
Consume Kafka, Update Records via Machine Learning Models In CDSW And Store to Kudu


Exploring Apache NiFi 1.10: Stateless Engine and Parameters

Exploring Apache NiFi 1.10:   Stateless Engine and Parameters Apache NiFi is now available in 1.10!

You can now use JDK 8 or JDK 11!   I am running in JDK 11, seems a bit faster.

A huge feature is the addition of Parameters!   And you can use these to pass parameters to Apache NiFi Stateless!

A few lesser Processors have been moved from the main download, see here for migration hints:

Release Notes:

Example Source Code:

More New Features:

ParquetReader/Writer (See: Reporting Task.   Expect more Prometheus stuff coming.Experimental Encrypted content repository.   People asked me for this one before.Par…

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice In Part 1, we will setup our drone, our communication environment, capture the data and do initial analysis. We will eventually grab live video stream for object detection, real-time flight control and real-time data ingest of photos, videos and sensor readings. We will have Apache NiFi react to live situations facing the drone and have it issue flight commands via UDP. In this initial section, we will control the drone with Python which can be triggered by NiFi. Apache NiFi will ingest log data that is stored as CSV files on a NiFi node connected to the drone's WiFi. This will eventually move to a dedicated embedded device running MiniFi. This is a small personal drone with less than 13 minutes of flight time per battery. This is not a commercial drone, but gives you an idea of the what you can do with drones. Drone Live Communications for Sensor Readings and Drone Control You must connect to the drone…